Web Search Assistant

Problem

When a user needs current facts, news, weather, pricing, or technical references, model knowledge alone can be stale and hard to verify. Web Search Assistant turns retrieval into a clear workflow: extract core keywords from the question, call the built-in search tool, filter ads, duplicates, and irrelevant items, then return a readable, source-linked summary. It fits "look this up" tasks where engineers need quick evidence.

How It Works and Limits

• Keyword extraction: compress a long request into search terms to reduce noise.
• Live retrieval: depends on an available built-in search tool in the runtime; without network search access, it cannot fetch external results.
• Result filtering: prioritize the top 3-5 useful results and organize them into core findings, details, sources, and suggestions.
• Structured output: use sections such as 🔍, 📌, and 📋 to make results easier to scan and reuse.

Note: it is best for initial discovery, lead collection, and source checking, not as a replacement for proprietary databases, compliance sources, legal, or medical judgment. Quality depends on search engine coverage, page freshness, anti-scraping limits, and ad noise.